feat(agent): complete EvoAgent integration for all 6 agent roles
Migrate all agent roles from Legacy to EvoAgent architecture: - fundamentals_analyst, technical_analyst, sentiment_analyst, valuation_analyst - risk_manager, portfolio_manager Key changes: - EvoAgent now supports Portfolio Manager compatibility methods (_make_decision, get_decisions, get_portfolio_state, load_portfolio_state, update_portfolio) - Add UnifiedAgentFactory for centralized agent creation - ToolGuard with batch approval API and WebSocket broadcast - Legacy agents marked deprecated (AnalystAgent, RiskAgent, PMAgent) - Remove backend/agents/compat.py migration shim - Add run_id alongside workspace_id for semantic clarity - Complete integration test coverage (13 tests) - All smoke tests passing for 6 agent roles Constraint: Must maintain backward compatibility with existing run configs Constraint: Memory support must work with EvoAgent (no fallback to Legacy) Rejected: Separate PM implementation for EvoAgent | unified approach cleaner Confidence: high Scope-risk: broad Directive: EVO_AGENT_IDS env var still respected but defaults to all roles Not-tested: Kubernetes sandbox mode for skill execution
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@@ -1,5 +1,5 @@
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# -*- coding: utf-8 -*-
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"""Initialize run-scoped agent workspace assets."""
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"""Initialize run-scoped agent workspace assets under `runs/<run_id>/`."""
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from pathlib import Path
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from typing import Dict, Iterable, Optional
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@@ -479,5 +479,6 @@ class RunWorkspaceManager:
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)
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# Backward-compatible alias: code importing WorkspaceManager from this module should continue to work.
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# Backward-compatible alias: many runtime paths still import WorkspaceManager
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# from this module when they mean the run-scoped manager.
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WorkspaceManager = RunWorkspaceManager
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